Abstract
Scholarly communication through video by various people and institutions has spread more and more in recent years and impacts the dissemination of scholarly knowledge and people’s daily lives. However, most of the previous works were conducted to measure the impacts of these research outputs as Altmetrics studies; little is known about characteristics and trends of scholarly articles and their associated videos. E.g., how many of these articles and videos are available since when?, and who has been publishing these videos? Hence, we analyzed 410,101 articles with 228,192 unique DOIs referenced in 137,629 videos uploaded by 39,416 channels, using data provided by Altmetric.com. As a result, the total number of scholarly references on YouTube has increased rapidly since 2016 and has continued to grow. The top research fields of scholarly articles were Clinical Medicine and Multidisciplinary consistently. The most common channels in the number of videos associated with scholarly references were hosted by publishers and academic societies, SciShow, and other individuals/organizations.
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Acknowledgments
This work was partially supported by JSPS KAKENHI Grant Numbers JP22K18147, JP21K12592, and JP23K11761. We are grateful to Altmetric.com (https://www.altmetric.com/) for providing valuable data through the researcher data access program.
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Kikkawa, J., Takaku, M., Yoshikane, F. (2023). Quantitative Analysis of Scholarly References on YouTube. In: Goh, D.H., Chen, SJ., Tuarob, S. (eds) Leveraging Generative Intelligence in Digital Libraries: Towards Human-Machine Collaboration. ICADL 2023. Lecture Notes in Computer Science, vol 14457. Springer, Singapore. https://doi.org/10.1007/978-981-99-8085-7_13
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